R.M. DeSantis

665 citations
35 papers · 514 · h-index 13

Impact in

Papers in

R.M. DeSantis

34 papers receiving 468 citations

Peers

R.M. DeSantis
Comparison fields: 5 of 40
  • Control and Systems Engineering 416
  • Automotive Engineering 179
  • Computer Vision and Pattern Recognition 249
  • Computational Theory and Mathematics 46
  • Numerical Analysis 15
Replace Hans-Peter Schröcker with:
Hans-Peter Schröcker Austria
C. Andrew Neff United States
Hisakazu Nakamura Japan
Jiacai Huang China
Claus Danielson United States
Mario Santillo United States
Dieter Kaesbauer Germany
Andrea Zanelli Germany
Ming-Ying Hsiao Taiwan
Mark B. Milam United States
R.M. DeSantis relative to Hans-Peter Schröcker Austria Hans-Peter Schröcker's profile →
Citations per field
00.5×9.9×
Hans-Peter Schröcker · 1×
Citations per year

Countries citing papers authored by R.M. DeSantis

Since Specialization
Citations

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

Fields of papers citing papers by R.M. DeSantis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. DeSantis. 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 R.M. DeSantis. The network helps show where R.M. DeSantis may publish in the future.

Co-authors

The 8 scholars most cited alongside R.M. DeSantis, 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 R.M. DeSantis Line = papers co-authored together R.M. DeSantis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199894
2 199479
3 200144
4 199736
5 197824
6 199524
7 199523
8 200317
9 198215
10 199615
11 197313
12 199812
13 197512
14 197512
15 198211
16 200310
17 19748
18 19838
19 19838
20 19966

About R.M. DeSantis

R.M. DeSantis is a scholar working on Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Applied Mathematics, having authored 35 papers that have together received 514 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (13 papers), Control and Dynamics of Mobile Robots (12 papers), Robotic Path Planning Algorithms (8 papers), Dynamics and Control of Mechanical Systems (8 papers), Stability and Control of Uncertain Systems (5 papers), Control Systems and Identification (3 papers), Matrix Theory and Algorithms (3 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Control and Systems Engineering (416 citations), Automotive Engineering (179 citations), Computer Vision and Pattern Recognition (249 citations), Computational Theory and Mathematics (46 citations) and Numerical Analysis (15 citations). R.M. DeSantis has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include William A. Porter, Paolo Bolzern, A. Locatelli, R. Saeks, R. Hurteau, Jean‐Matthieu Bourgeot, Stéphane Krau and Arturo Locatelli. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, Robotica, International Journal of Control, Journal of Mathematical Analysis and Applications and Theory of Computing Systems.

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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