C.W. Baum

819 total citations
47 papers, 562 citations indexed

About

C.W. Baum is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, C.W. Baum has authored 47 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 34 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in C.W. Baum's work include Advanced Wireless Communication Techniques (27 papers), Wireless Communication Networks Research (25 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). C.W. Baum is often cited by papers focused on Advanced Wireless Communication Techniques (27 papers), Wireless Communication Networks Research (25 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). C.W. Baum collaborates with scholars based in United States and Canada. C.W. Baum's co-authors include Venugopal V. Veeravalli, M.B. Pursley, D.L. Noneaker, Samuel Park, Eric Patterson, K. Balakrishnan, L. Wilson Pearson and H.B. Russell and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

C.W. Baum

41 papers receiving 518 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C.W. Baum United States 13 365 290 148 82 47 47 562
Shahrokh Farahmand Iran 12 149 0.4× 223 0.8× 141 1.0× 13 0.2× 61 1.3× 25 425
Robert A. Wannamaker Canada 7 95 0.3× 152 0.5× 63 0.4× 18 0.2× 59 1.3× 16 448
Saeid Haghighatshoar Germany 11 102 0.3× 308 1.1× 52 0.4× 6 0.1× 8 0.2× 31 417
Ghurumuruhan Ganesan India 8 1.9k 5.2× 1.3k 4.7× 60 0.4× 16 0.2× 10 0.2× 28 2.0k
Meik Dörpinghaus Germany 16 194 0.5× 489 1.7× 32 0.2× 6 0.1× 10 0.2× 69 627
Galen Reeves United States 12 144 0.4× 112 0.4× 78 0.5× 8 0.1× 5 0.1× 36 446
J.J. Paulos United States 16 49 0.1× 631 2.2× 233 1.6× 11 0.1× 45 1.0× 47 820
Federico Penna Italy 14 583 1.6× 431 1.5× 99 0.7× 3 0.0× 6 0.1× 46 766
Tian Zhi China 10 98 0.3× 121 0.4× 199 1.3× 3 0.0× 51 1.1× 21 345

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-authorship network of co-authors of C.W. Baum

This figure shows the co-authorship network connecting the top 25 collaborators of C.W. Baum. A scholar is included among the top collaborators of C.W. Baum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C.W. Baum. C.W. Baum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Park, Samuel, Eric Patterson, & C.W. Baum. (2019). Long Short-Term Memory and Convolutional Neural Networks for Active Noise Control. 121–125. 6 indexed citations
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Baum, C.W., et al.. (2005). A node hibernation protocol utilizing multiple transmit power levels for wireless sensor networks. 4. 2808–2813. 4 indexed citations
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Baum, C.W., et al.. (2002). A new method for block demodulation without channel estimation. 3. 852–856. 3 indexed citations
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Baum, C.W., et al.. (2002). Hybrid ARQ with ratio threshold combining for frequency-hop communication systems. 281–283. 1 indexed citations
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Baum, C.W., et al.. (2002). A multiresolution signaling scheme for frequency-hop systems. 1. 80–84. 1 indexed citations
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Baum, C.W., et al.. (2002). New results on the performance of linear block codes with Type-I hybrid ARQ protocol. 3. 1533–1537. 3 indexed citations
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Baum, C.W., et al.. (1998). A reliability output Viterbi algorithm with applications to hybrid ARQ. IEEE Transactions on Information Theory. 44(3). 1214–1216. 22 indexed citations
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Baum, C.W., et al.. (1998). Decoder error and failure probabilities for Reed-Solomon codes: decodable vectors method. IEEE Transactions on Communications. 46(7). 857–859. 10 indexed citations
17.
Baum, C.W., et al.. (1998). Packet combining in frequency-hop spread-spectrum communication systems. IEEE Transactions on Communications. 46(1). 23–33. 6 indexed citations
18.
Veeravalli, Venugopal V. & C.W. Baum. (1996). Hybrid acquisition of direct sequence CDMA signals. International Journal of Wireless Information Networks. 3(1). 55–65. 16 indexed citations
19.
Baum, C.W. & M.B. Pursley. (1995). A decision-theoretic approach to the generation of side information in frequency-hop multiple-access communications. IEEE Transactions on Communications. 43(2/3/4). 1768–1777. 22 indexed citations
20.
Baum, C.W.. (1992). Decision-theoretic techniques for the development and use of side information in frequency-hop radio receivers. 6 indexed citations

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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