Math J. M. Gulpers

13 total papers · 572 total citations
11 papers, 420 citations indexed

About

Math J. M. Gulpers is a scholar working on Clinical Psychology, General Health Professions and Emergency Medicine. According to data from OpenAlex, Math J. M. Gulpers has authored 11 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 9 papers in General Health Professions and 6 papers in Emergency Medicine. Recurrent topics in Math J. M. Gulpers's work include Healthcare Decision-Making and Restraints (10 papers), Geriatric Care and Nursing Homes (9 papers) and Emergency and Acute Care Studies (6 papers). Math J. M. Gulpers is often cited by papers focused on Healthcare Decision-Making and Restraints (10 papers), Geriatric Care and Nursing Homes (9 papers) and Emergency and Acute Care Studies (6 papers). Math J. M. Gulpers collaborates with scholars based in Netherlands, United States and Taiwan. Math J. M. Gulpers's co-authors include Jan P.H. Hamers, Anna Huizing, Martijn P. F. Berger, Michel H.C. Bleijlevens, Werner Strik, Elisabeth F. C. van Rossum, Elizabeth Capezuti, Ton Ambergen and Hilde Verbeek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Geriatrics Society and Journal of Advanced Nursing.

In The Last Decade

Math J. M. Gulpers

11 papers receiving 402 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Math J. M. Gulpers 331 214 112 76 61 11 420
Anna Huizing 344 1.0× 203 0.9× 123 1.1× 103 1.4× 40 0.7× 9 467
Judith Braun 223 0.7× 196 0.9× 59 0.5× 70 0.9× 46 0.8× 17 452
William Bingley 359 1.1× 120 0.6× 47 0.4× 129 1.7× 14 0.2× 14 440
Monica Leverton 150 0.5× 243 1.1× 16 0.1× 55 0.7× 19 0.3× 23 408
Peter Prendergast 210 0.6× 152 0.7× 56 0.5× 48 0.6× 3 0.0× 14 404
Danielle St-Laurent 172 0.5× 65 0.3× 38 0.3× 33 0.4× 6 0.1× 13 388
Sumytra Menon 183 0.6× 207 1.0× 15 0.1× 264 3.5× 26 0.4× 17 444
Charles P. Sabatino 170 0.5× 222 1.0× 32 0.3× 382 5.0× 16 0.3× 24 481
Jennifer Christian‐Herman 70 0.2× 97 0.5× 19 0.2× 42 0.6× 28 0.5× 7 452
Anita Brock 189 0.6× 147 0.7× 38 0.3× 48 0.6× 14 0.2× 12 421

Countries citing papers authored by Math J. M. Gulpers

Since Specialization
Citations

This map shows the geographic impact of Math J. M. Gulpers'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 Math J. M. Gulpers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Math J. M. Gulpers more than expected).

Fields of papers citing papers by Math J. M. Gulpers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Math J. M. Gulpers. 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 Math J. M. Gulpers. The network helps show where Math J. M. Gulpers may publish in the future.

Co-authorship network of co-authors of Math J. M. Gulpers

This figure shows the co-authorship network connecting the top 25 collaborators of Math J. M. Gulpers. A scholar is included among the top collaborators of Math J. M. Gulpers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Math J. M. Gulpers. Math J. M. Gulpers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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