Ekaba Bisong

2.6k total citations · 1 hit paper
3 papers, 740 citations indexed

About

Ekaba Bisong is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Ekaba Bisong has authored 3 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Ekaba Bisong's work include Topic Modeling (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Natural Language Processing Techniques (1 paper). Ekaba Bisong is often cited by papers focused on Topic Modeling (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Natural Language Processing Techniques (1 paper). Ekaba Bisong collaborates with scholars based in United States. Ekaba Bisong's co-authors include Shweta Bhatt and Thomas Wagner and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research) and Apress eBooks.

In The Last Decade

Ekaba Bisong

3 papers receiving 722 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Building Machine Learning and Deep Learning Models on Google Cloud Platform

2019 615 citations Ekaba Bisong Apress eBooks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ekaba Bisong United States	3	228	102	65	62	58	3	740
Mohammad Mustafa Taye Jordan	2	179 0.8×	104 1.0×	42 0.6×	61 1.0×	71 1.2×	7	772
Jeff Heaton United States	9	290 1.3×	123 1.2×	82 1.3×	84 1.4×	45 0.8×	16	849
Dharmender Kumar India	14	269 1.2×	100 1.0×	109 1.7×	48 0.8×	41 0.7×	66	832
Susmita Ray India	5	178 0.8×	63 0.6×	69 1.1×	68 1.1×	35 0.6×	7	625
Mahendra Kumar Gourisaria India	15	269 1.2×	138 1.4×	61 0.9×	45 0.7×	84 1.4×	147	885
Rania Kora Egypt	5	328 1.4×	73 0.7×	43 0.7×	47 0.8×	67 1.2×	7	765
Shamila Nasreen Pakistan	6	377 1.7×	161 1.6×	93 1.4×	66 1.1×	40 0.7×	7	877
Nikhil Ketkar United States	8	177 0.8×	128 1.3×	41 0.6×	68 1.1×	40 0.7×	14	626
Xuming Han China	12	311 1.4×	181 1.8×	39 0.6×	68 1.1×	38 0.7×	64	744
Yanfeng Wang China	18	207 0.9×	97 1.0×	79 1.2×	123 2.0×	41 0.7×	113	1.1k

Countries citing papers authored by Ekaba Bisong

Since Specialization

Citations

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

Fields of papers citing papers by Ekaba Bisong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekaba Bisong

This figure shows the co-authorship network connecting the top 25 collaborators of Ekaba Bisong. A scholar is included among the top collaborators of Ekaba Bisong 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 Ekaba Bisong. Ekaba Bisong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Bisong, Ekaba, et al.. (2020). BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR. 669–679. 16 indexed citations

2.

Bisong, Ekaba. (2019). Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress eBooks. 615 indexed citations breakdown →

3.

Bisong, Ekaba. (2019). Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners. CERN Document Server (European Organization for Nuclear Research). 109 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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