J.S. Meditch

2.9k citations
86 papers · 2.0k indexed · 1 hit paper · h-index 19

J.S. Meditch

78 papers receiving 1.8k citations

Hit Papers

Stochastic Optimal Linear Estimation and Control3771972202619902008100200300

Peers

J.S. Meditch
Comparison fields: 5 of 110
  • Control and Systems Engineering 894
  • Computer Networks and Communications 385
  • Numerical Analysis 86
  • Aerospace Engineering 381
  • Artificial Intelligence 446
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Citations per year

Countries citing papers authored by J.S. Meditch

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Meditch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Meditch. 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 J.S. Meditch. The network helps show where J.S. Meditch may publish in the future.

Co-authorship network

The 24 scholars most cited alongside J.S. Meditch, 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 J.S. Meditch Line = papers co-authored together J.S. Meditch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20031
2 20031
3 200224
4 20021
5 19943
6 19922
7 19891
8
A Virtual Time CSMA Protocol for Integrated Voice-Data.
19841
9 19801
10
Proceedings, Fourth Symposium on Nonlinear Estimation Theory and Its Applications
19742
11 19740
12 197398
13 19721
14 19722
15 1972284
16 19702
17 196729
18 196613
19 19631
20
A CLASS OF PREDICTIVE ADAPTIVE CONTROLS
19611

About J.S. Meditch

J.S. Meditch is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Signal Processing, Computer Vision and Pattern Recognition and Management Information Systems, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (18 papers), Interconnection Networks and Systems (13 papers), Advanced Optical Network Technologies (12 papers), Control Systems and Identification (11 papers), Wireless Networks and Protocols (9 papers), Mobile Ad Hoc Networks (9 papers), Advanced Wireless Network Optimization (8 papers) and Advanced Control Systems Optimization (8 papers). The work is most often cited by research in Control and Systems Engineering (894 citations), Computer Networks and Communications (385 citations), Numerical Analysis (86 citations), Aerospace Engineering (381 citations) and Artificial Intelligence (446 citations). J.S. Meditch has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include E.C. Tacker, Gene H. Hostetter, G. Hostetter, Biswanath Mukherjee, Adly T. Fam, Chin‐Tau Lea, Souhwan Jung, Charles Wolfe, Lucien W. Neustadt and N. Shacham. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control, Automatica, IEEE Transactions on Communications and Computers & Electrical Engineering.

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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