Paul Schultz

32 papers receiving 1.2k citations

Peers

Paul Schultz
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 534
  • Statistical and Nonlinear Physics 158
  • Computer Networks and Communications 243
  • Anatomy 9
  • Surgery 247
Replace Marı́a Teresa Giraudo with:
Marı́a Teresa Giraudo Italy
Mette My Madsen Denmark
Ashish Kumar Verma India
Mark Evans United States
Rodrigo Aquino Castro Brazil
Qi-Ru Wang China
Joseph A. Cruz Canada
Aditya Jaikumar Sharma India
Kefei Zhou United States
Vishal Nainesh Patel United States
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Citations per field
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Citations per year

Countries citing papers authored by Paul Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Paul Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983228
2 1996167
3 1992148
4 201993
5 202075
6 201472
7 201470
8 199563
9
Thyroglossal duct carcinoma.
199157
10 197633
11 201631
12 200031
13 199926
14 201625
15 202224
16
Severity of violence against women correlates with behavioral problems in their children.
200323
17 198323
18
An association between acute bronchitis and asthma.
198717
19 202214
20
Clinicopathologic and flow cytometric DNA study of medullary thyroid carcinoma.
199012

About Paul Schultz

Paul Schultz is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Endocrinology, Diabetes and Metabolism, Control and Systems Engineering and Otorhinolaryngology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (8 papers), Microgrid Control and Optimization (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Smart Grid Energy Management (3 papers), Power System Optimization and Stability (3 papers), Complex Network Analysis Techniques (3 papers), Head and Neck Cancer Studies (2 papers) and Neural Networks Stability and Synchronization (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (534 citations), Statistical and Nonlinear Physics (158 citations), Computer Networks and Communications (243 citations), Anatomy (9 citations) and Surgery (247 citations). Paul Schultz has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Jürgen Kurths, Helmuth Goepfert, Jobst Heitzig, N. A. Samaan, Robert C. Hickey, Nelson G. Ordoñez, Gilbert J. Cote, Robert F. Gagel, S Khorana and Frank Hellmann. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The European Physical Journal Special Topics, New Journal of Physics, Chaos An Interdisciplinary Journal of Nonlinear Science and Physical review. E.

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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