C.W. Baum

823 citations
47 papers · 580 · h-index 13

Impact in

Papers in

C.W. Baum

41 papers receiving 534 citations

Peers

C.W. Baum
Comparison fields: 5 of 68
  • Computer Networks and Communications 369
  • Statistics, Probability and Uncertainty 83
  • General Decision Sciences 11
  • Statistics and Probability 48
  • Electrical and Electronic Engineering 294
Replace Shahrokh Farahmand with:
Shahrokh Farahmand Iran
Robert A. Wannamaker Canada
F.N. Chowdhury United States
Ghurumuruhan Ganesan India
J.J. Paulos United States
Saeid Haghighatshoar Germany
Xinyue Shen China
Federico Penna Italy
Boyuan Yan China
C.W. Baum relative to Shahrokh Farahmand Iran Shahrokh Farahmand's profile →
Citations per field
00.5×2×4×6.4×
Shahrokh Farahmand · 1×
Citations per year

Countries citing papers authored by C.W. Baum

Since Specialization
Citations

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

Fields of papers citing papers by C.W. Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.W. Baum. 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 C.W. Baum. The network helps show where C.W. Baum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994192
2 199277
3 199525
4 199822
5 199522
6 200122
7 200217
8 199616
9 199615
10 200212
11 200312
12 200312
13 199712
14 199711
15 199811
16 199610
17 20198
18 20027
19 20186
20 19986

About C.W. Baum

C.W. Baum is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Mechanics and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 580 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (27 papers), Wireless Communication Networks Research (25 papers), Distributed Sensor Networks and Detection Algorithms (7 papers), Mobile Ad Hoc Networks (6 papers), Cooperative Communication and Network Coding (6 papers), Coding theory and cryptography (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Computer Networks and Communications (369 citations), Statistics, Probability and Uncertainty (83 citations), General Decision Sciences (11 citations), Statistics and Probability (48 citations) and Electrical and Electronic Engineering (294 citations). C.W. Baum has collaborated with scholars based in United States and Canada. Frequent co-authors include Venugopal V. Veeravalli, M.B. Pursley, D.L. Noneaker, Eric Patterson, Samuel Park, K. Balakrishnan, H.B. Russell and L. Wilson Pearson. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Transactions on Vehicular Technology, Mobile Networks and Applications and IEEE Journal on Selected Areas in Communications.

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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