Daniel Stamate

479 citations
23 papers · 107 · h-index 7

Impact in

Papers in

Daniel Stamate

21 papers receiving 104 citations

Peers

Daniel Stamate
Comparison fields: 5 of 46
  • Health Information Management 11
  • Psychiatry and Mental health 23
  • Artificial Intelligence 47
  • Biological Psychiatry 3
  • Applied Psychology 6
Replace Heekyong Park with:
Heekyong Park South Korea
Chester Holtz United States
Konstantinos Lazaros Greece
Scott Neu United States
Raghavendra Pappagari United States
Minh Nguyen United States
Imanol Pérez Arribas United Kingdom
Zongru Shao United States
Rishabh Jain United States
Robert Fratila Canada
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Stamate

Since Specialization
Citations

This map shows the geographic impact of Daniel Stamate's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Stamate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stamate more than expected).

Fields of papers citing papers by Daniel Stamate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Stamate. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Stamate. The network helps show where Daniel Stamate may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Stamate, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Stamate Line = papers co-authored together Daniel Stamate links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201815
2 201312
3 201910
4 20179
5 20048
6 20196
7 20036
8 20155
9 20175
10 20175
11 20244
12 20164
13 20184
14 20183
15 20213
16
Multivalued stable semantics for databases with uncertain information
19982
17 20212
18
Statistical protection for statistical databases
19921
19 20241
20 20231

About Daniel Stamate

Daniel Stamate is a scholar working on Artificial Intelligence, Psychiatry and Mental health, Computer Networks and Communications, Experimental and Cognitive Psychology and Epidemiology, having authored 23 papers that have together received 107 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Dementia and Cognitive Impairment Research (4 papers), Mental Health Research Topics (4 papers), Logic, Reasoning, and Knowledge (4 papers), Logic, programming, and type systems (3 papers), Multi-Agent Systems and Negotiation (2 papers), Energy Load and Power Forecasting (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Health Information Management (11 citations), Psychiatry and Mental health (23 citations), Artificial Intelligence (47 citations), Biological Psychiatry (3 citations) and Applied Psychology (6 citations). Daniel Stamate has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Nicolas Spyratos, Daniel Ståhl, Fionn Murtagh, Marta Di Forti, Robin Murray, Wajdi Alghamdi, Doina Logofătu, Evgueni Smirnov, Robert Zimmer and Philippe Delespaul. Their work appears in journals such as Schizophrenia Research, Statistics and Computing, ACM Transactions on Computational Logic, Evolving Systems and Theoretical Computer Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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