Kemafor Anyanwu

1.6k citations
36 papers · 880 indexed · h-index 12
Topics
Advanced Database Systems and Queries (25 papers)Semantic Web and Ontologies (21 papers)Data Management and Algorithms (12 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Kemafor Anyanwu

35 papers receiving 795 citations

Peers

Kemafor Anyanwu
Comparison fields: 5 of 53
  • Artificial Intelligence 503
  • Information Systems 494
  • Computer Networks and Communications 429
  • Signal Processing 186
  • Computer Vision and Pattern Recognition 127
Replace Riccardo Torlone with:
Riccardo Torlone Italy
Songyun Duan United States
Vuk Ercegovac United States
Sergio Flesca Italy
Olga Papaemmanouil United States
Daniele Braga Italy
Eric N. Hanson United States
Ralf Schenkel Germany
Angela Bonifati France
Rares Vernica United States
Kemafor Anyanwu relative to Riccardo Torlone Italy Riccardo Torlone's profile →
Citations per field
00.5×1.7×
Riccardo Torlone · 1×
Citations per year

Countries citing papers authored by Kemafor Anyanwu

Since Specialization
Citations

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

Fields of papers citing papers by Kemafor Anyanwu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kemafor Anyanwu

This figure shows the co-authorship network connecting the top 25 collaborators of Kemafor Anyanwu. A scholar is included among the top collaborators of Kemafor Anyanwu 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 Kemafor Anyanwu. Kemafor Anyanwu 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
#WorkIndexed citations
1 12
2 0
3 12
4 2
5 3
6 3
7 3
8 1
9 3
10 4
11 6
12 6
13 162
14 1
15 2
16 5
17 145
18 91
19 135
20 5

About Kemafor Anyanwu

Kemafor Anyanwu is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 36 papers that have together received 880 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (25 papers), Semantic Web and Ontologies (21 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Information Systems (494 citations), Computer Networks and Communications (429 citations) and Signal Processing (186 citations). Kemafor Anyanwu has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Amit Sheth, Angela Maduko, Krys J. Kochut, John A. Miller, Jorge Cardoso, Boanerges Aleman-Meza, I. Budak Arpinar, Paul Schliekelman and Pradeep K. Murukannaiah. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and IEEE Internet Computing.

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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