Daniel Sullivan

30 papers receiving 503 citations

Peers

Daniel Sullivan
Comparison fields: 5 of 125
  • Physiology 106
  • Cardiology and Cardiovascular Medicine 140
  • Endocrine and Autonomic Systems 20
  • Radiology, Nuclear Medicine and Imaging 53
  • Oncology 60
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Countries citing papers authored by Daniel Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Sullivan. 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 Sullivan. The network helps show where Daniel Sullivan may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Sullivan, 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 Sullivan Line = papers co-authored together Daniel Sullivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992138
2 197596
3 199391
4 199741
5 201820
6 201015
7 202213
8 202213
9 199312
10 201511
11
High Accuracy Autonomous Image Georeferencing Using a GPS/Inertial-Aided Digital Imaging System
20029
12 20219
13 19948
14 20188
15 20108
16 20227
17
The True Cost of Air Pollution: Evidence from House Prices and Migration
20157
18 20245
19 20155
20 20204

About Daniel Sullivan

Daniel Sullivan is a scholar working on Economics and Econometrics, Sociology and Political Science, General Health Professions, Accounting and Molecular Biology, having authored 32 papers that have together received 540 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (4 papers), Housing Market and Economics (4 papers), Labor market dynamics and wage inequality (4 papers), Employment and Welfare Studies (3 papers), Housing, Finance, and Neoliberalism (2 papers), Place Attachment and Urban Studies (2 papers), Legal principles and applications (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (106 citations), Cardiology and Cardiovascular Medicine (140 citations), Endocrine and Autonomic Systems (20 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Oncology (60 citations). Daniel Sullivan has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Nicholas C. Mullins, John T. Turner, Laurie Erb, Janell Seeger, Gary A. Weisman, Terence J. Hadley, Marcus F. Stoddard, Norman E. Liddell, Joel Kupersmith and Kevin D. Lustig. Their work appears in journals such as Clinical Cancer Research, American Law and Economics Review, Industrial and Labor Relations Review, tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society and Proceedings of the National Academy of Sciences.

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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