OpenAlex observations cover 54.9% of papers in this view

This is an observation-coverage view of The Commonplace’s indexed corpus, not a global ranking. 959 of 1747 papers have a latest OpenAlex count under the selected filter; 788 do not.

Observed cumulative citations

Papers are ordered by their latest recorded OpenAlex count. Ties use observation date, then title and paper ID for deterministic ordering.

OpenAlex cumulative citation observations for papers in the selected corpus view, ordered by count. Each row shows the provider and observation date; counts from other providers are not added.
Rank in this view	Paper	Published	OpenAlex cumulative citations	Observation
1	AI systems reliably perform narrow clinical tasks and speed routine workflows, but physicians remain indispensable: near-term automation will reallocate tasks rather than replace clinicians, with regulatory, robustness, and liability hurdles slowing widespread substitution. R. Obuchowicz, Adam Piórkowski, Karolina Nurzyńska, B. Obuchowicz, Michał Strzelecki, M. Bielecka	2026	13	OpenAlex July 22, 2026 provider refresh
2	A blueprint for human–AI complementarity: firms that invest in team composition, shared mental models, attention/orchestration, and continuous training can achieve team performance that exceeds humans or AI alone; without these sociotechnical investments, AI’s productivity gains will be limited and uneven. Cleotilde Gonzalez, Kate Donahue, Daniel G Goldstein, Hoda Heidari, Mohammad S. Jalali, Beau G. Schelble, Aarti Singh, Anita Woolley	2026	7	OpenAlex July 22, 2026 provider refresh
3	AI can raise radiology accuracy and throughput, but benefits are conditional on real-world integration—poorly designed deployments risk automation bias, deskilling and workflow disruption that can erode clinical and economic gains. B. Koçak, Renato Cuocolo	2026	7	OpenAlex July 22, 2026 provider refresh
4	Countries with stronger AI readiness record notably better progress on the Sustainable Development Goals, and FinTech and Blockchain activity also predict higher SDG performance; when nations develop multiple digital technologies together, the combined sustainability gains exceed the sum of individual effects. Nesrine Gafsi, Amina Hamdouni, Aida Smaoui	March 4, 2026	6	OpenAlex July 22, 2026 provider refresh
5	Passive, copy-based use of AI erodes workers' confidence, ownership and sense of meaningful work — and some harms persist after returning to manual tasks; by contrast, active, draft-first collaboration with AI preserves worker agency and avoids these psychological costs. Elena Hayoung Lee, Yidan Yin, Nan Jia, Cheryl Wakslak	March 15, 2026	6	OpenAlex July 22, 2026 provider refresh
6	A shift to genuinely multi-hazard, multi-risk disaster management is both practicable and worthwhile, but meaningful uptake needs coordinated progress on methods, usable tools, equity, local coproduction and early-career capacity. Without standardized concepts, stronger spatio-temporal evidence, and operationally tested decision-support systems, benefits will remain patchy and context-dependent. Philip J. Ward, Sophie Buijs, Roxana Ciurean, Judith Claassen, James Daniell, Kelley De Polt, Melanie Duncan, Stefania Gottardo, Stefan Hochrainer-Stigler, Robert Šakić Trogrlić, Julius Schlumberger, Timothy Tiggeloven, Silvia Torresan, Nicole van Maanen, Andrew Warren, Carmen D. Carmen D. Álvarez-Albelo, Vanessa Banks, Benjamin Blanz, Veronica Casartelli, Jordan Correa, Julia Crummy, Anne Sophie Daloz, Marleen C. de Ruiter, Juan Jose Diaz-Hernandez, Jaime Díaz-Pacheco, Pedro Dorta Antequera, Davide Mauro Ferrario, David Geurts, Sara García-González, Joel C. Gill, Raúl Hernández-Martín, Wiebke Jäger, Abel López Díez, Lin Ma, Jaroslav Myšiak, Diep Ngoc Nguyen, Noemi Padrón Fumero, Eva-Cristina Petrescu, Karina Reiter, Jana Sillmann, Lara Smale, Tristian Stolte	March 11, 2026	5	OpenAlex July 22, 2026 provider refresh
7	A survey of 627 studies identifies four distinct AI–human decision-making paradigms driven by AI–human dynamics and decision typologies; the framework helps organizations choose between intuitive, algorithmic, analytical and hybrid decision modes as they integrate AI into operations. Han Li, Feng Tian	April 3, 2026	5	OpenAlex July 22, 2026 provider refresh
8	Advanced AI molecular representations and generative models promise to speed drug discovery by predicting PD and toxicity earlier and enabling de novo design; but most demonstrated gains are in silico or preclinical and depend critically on data quality, 3D fidelity and still-maturing quantum approaches. Xiaoyu Zhou, Weijing Tao	2026	4	OpenAlex July 22, 2026 provider refresh
9	AI accelerates clinicians’ work in the short run but slowly dulls diagnostic intuition, causing skill atrophy and identity commoditization among cancer specialists; the authors propose a sociotechnical framework to detect and reverse such erosion while preserving human expertise. Upol Ehsan, Samir Passi, Koustuv Saha, Todd McNutt, Mark Riedl, Sara R. Alcorn	April 13, 2026	4	OpenAlex July 22, 2026 provider refresh
10	AI agritech can substantially boost smallholder outcomes—raising yields by double‑digit percentages and cutting input costs—but gains are uneven and hinge on connectivity, local skills and supportive regulation. Adewale Isaac Olutumise	March 9, 2026	4	OpenAlex July 22, 2026 provider refresh
11	AI and other new digital skills are appearing in roughly one in ten vacancies in advanced economies and pay a clear wage premium. Yet their spread is linked to sharper labor-market polarization—helping high-skilled workers while hollowing out middle-skilled roles and reducing employment in AI‑exposed occupations with low worker complementarity, with young workers hit especially hard. Florence Jaumotte, Jaden Kim, David Koll, Elmer Li, Longji Li, Giovanni Melina, Alina Song, Marina Mendes Tavares	2026	4	OpenAlex July 22, 2026 provider refresh
12	AI raises demand for advanced technical skills but heightens job insecurity where reskilling and participatory governance are absent; firms that combine targeted human-capital investment with transparent governance see lower resistance and smoother implementation. Lorena Arranz Lahuerta, María Rosa López Ramajo, Andrés Gandía	2026	4	OpenAlex July 22, 2026 provider refresh
13	AI-enabled forecasting and intelligent dispatch can materially raise revenues, extend life and cut emissions for grid-scale batteries, improving levelized cost of storage and payback times; however, most claimed gains stem from simulations and isolated demos, and scaling them requires better data, lighter algorithms and market rules that reward speed and degradation-aware operation. N. Ketjoy, Y. Muna, M. Kaewpanha, Wisut Chamsa-ard, Tawat Suriwong, C. Termritthikun	2026	4	OpenAlex July 22, 2026 provider refresh
14	China's digital expansion first raises and then lowers per-capita city emissions while hurting then improving emission efficiency; meaningful carbon cuts materialize only once green-technology innovation crosses a critical threshold, implying digitalization must be sequenced with innovation policy to deliver low-carbon outcomes. Ran Wu, Shimao Su, Jiyun Hou, Xiaole Wang	March 9, 2026	4	OpenAlex July 22, 2026 provider refresh
15	HCI experiments reveal frequent over-reliance on AI advice, but most studies use unrealistic decision tasks; designing interventions to foster appropriate reliance will boost engagement yet can come at a cost to efficiency or scalability. Muhammad Raees, Vassilis-Javed Khan, Ioanna Lykourentzou, Konstantinos Papangelis	2026	4	OpenAlex July 22, 2026 provider refresh
16	Industrial robots strengthen Chinese cities' ability to withstand energy shocks, chiefly by modernising industry and boosting green innovation; the resilience gains are larger in cities with stricter environmental rules and higher science budgets. Bingnan Guo, Mengyu Li	March 21, 2026	4	OpenAlex July 22, 2026 provider refresh
17	Large language models can unlock large-scale text-based economic research, but only if researchers guard against training-data leakage for prediction and use an independent validation sample to correct LLM measurement errors or risk biased and imprecise estimates. Jens Ludwig, Sendhil Mullainathan, Ashesh Rambachan	April 6, 2026	4	OpenAlex July 22, 2026 provider refresh
18	A game-theoretic framework quantifies when cyber deception pays: deception raises defender utility versus matched non-deceptive baselines but its value erodes as system observability increases, with closed-form break-even conditions and parameter regimes where simple heuristics nearly match optimum. Mohammad Shahin, Mazdak Maghanaki, Fengshan Frank Chen	March 10, 2026	3	OpenAlex July 22, 2026 provider refresh
19	Academic ML intrusion-detection systems for IoT often report high detection rates in lab settings but rarely become production-ready. Heterogeneous devices, constrained compute/energy, dataset shortcomings and ML pipeline failures raise deployment costs and create commercial opportunities for firms that deliver lightweight, privacy-preserving, and operationally robust IDS solutions. Vishal Karanam	March 11, 2026	3	OpenAlex July 22, 2026 provider refresh
20	Clear, high-quality data builds trust in AI decision-support systems, and that trust helps drive organizations' intentions to adopt them; those intentions correlate with higher self-reported decision-making efficiency. G. Bondac, S. Stanescu, C. Ionescu, Anisoara Duica, Marilena Carmen Uzlău	2026	3	OpenAlex July 22, 2026 provider refresh
21	Complex human-AI tasks can lower employee engagement by raising tech-learning anxiety, but confidence with AI and humble leaders blunt the harm. Boli Wang, Simeng Liu, Chenhao Luo	2026	3	OpenAlex July 22, 2026 provider refresh
22	Digital–real integration and higher-quality productive capacity reinforce one another across Chinese provinces, but gains are locally concentrated: progress in one province tends to crowd out development in neighbors, producing negative spatial spillovers. Xiao Li, Nan Liu	March 12, 2026	3	OpenAlex July 22, 2026 provider refresh
23	Organizational backing and managerial mentoring determine whether AI delivers value: firms that invest in strategic support and developmental mentoring are more likely to realize productivity and innovation gains from human–AI collaboration. Chieh‐Peng Lin	2026	3	OpenAlex July 22, 2026 provider refresh
24	A hybrid local–global credit multi-agent RL cuts simulated supply-chain costs by about 26% and boosts service levels by roughly 43%, while retaining robustness under multiple simultaneous disruptions and scaling to 120 nodes. Changgeng Li, Zixi Liu	April 3, 2026	2	OpenAlex July 22, 2026 provider refresh
25	A publicly available library of 2,193 high-resolution 3D ant scans links morphology to genomes and slashes data-acquisition barriers for biological AI; the open resource shifts value toward model development, compute, and services while enabling new biodiversity and trait-analytics markets. Julian Katzke, F. Javier García, Jacob J. Relle, Fumika Azuma, Tomáš Faragó, Lazzat Aibekova, Alexandre Casadei-Ferreira, Shubham Gautam, Adrian Richter, Evropi Toulkeridou, Sabine Bremer, Elias Hamann, Jenny Hein, Janes Odar, Chandan Sarkar, Sabine Bremer, Jacobus J. Boomsma, Rodrigo M. Feitosa, Lukas Schrader, Guojie Zhang, Sándor Csősz, Minsoo Dong, Olívia Evangelista, Georg Fischer, Brian L. Fisher, Jaime A. Florez-Fernandez, Serge Aron, Abel Bernadou, Martín Bollazzi, Raphaël Boulay, Sylvia Cremer, Heike Feldhaar, Foitzik Susanne, Erik T. Frank, Jürgen Gadau, Daniele Giannetti, Stéphane De Greef, Heikki Helanterä, Ana Ješovnik, Andrew V. Suarez, Bálint Markó, David R. Nash, Jérôme Orivel, Jes Søe Pedersen, Frédéric Petitclerc, Stephen A. Rehner, Helen Sindre, András Tartally, Kazuki Tsuji, Irène Villalta, Herbert C. Wagner, Fede García, Kiko Gómez, Donató A. Grasso, Stéphane De Greef, Benoit Guénard, Peter G. Hawkes, R. Roy Johnson, Roberto A. Keller, Rasmus Stenbak Larsen, Timothy A. Linksvayer, Cong Liu, Arthur Matte, Masako Ogasawara, Hao Ran, Juanita Rodríguez, Enrico Schifani, Schultz Ted R., Jonathan Z. Shik, Jeffrey Sosa‐Calvo, Chao Tong, Leonardo Tozetto, Seonwoo Yoon, Masashi Yoshimura, Jie Zhao, Tilo Baumbach, Evan P. Economo, Thomas van de Kamp	March 5, 2026	2	OpenAlex July 22, 2026 provider refresh

Showing the first 25 of 959 observed papers.

Publication-year context

Citation counts generally accumulate over time. Cohort medians use observed OpenAlex counts only, while the observed and missing columns keep the full corpus denominator visible.

Paper coverage and median observed OpenAlex cumulative citations by publication year.
Publication year	Corpus papers	Observed	Missing	Median observed citations
2030	1	1	0	0
2026	1741	958	783	0.0
Unknown publication year	5	0	5	No observations

How to read these counts

Counts are cumulative provider observations captured on the displayed dates. Citation practices differ by field and publication age, and provider coverage changes over time. These counts do not establish quality, correctness, causal influence, or societal impact.

Review coverage quality for corpus limitations and About & Methodology for how The Commonplace collects and assesses research.