Jojo Moolayil

755 total citations
4 papers, 251 citations indexed

About

Jojo Moolayil is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Jojo Moolayil has authored 4 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Jojo Moolayil's work include Computational Physics and Python Applications (1 paper). Jojo Moolayil is often cited by papers focused on Computational Physics and Python Applications (1 paper). Jojo Moolayil collaborates with scholars based in . Jojo Moolayil's co-authors include Nikhil Ketkar and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research) and Apress eBooks.

In The Last Decade

Jojo Moolayil

4 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jojo Moolayil	4	77	36	33	22	22	4	251
Ch. Sanjeev Kumar Dash South Korea	7	94 1.2×	25 0.7×	29 0.9×	20 0.9×	21 1.0×	15	264
Bharti Khemani India	4	92 1.2×	56 1.6×	31 0.9×	24 1.1×	11 0.5×	7	305
Abhinandan Gangopadhyay United States	5	91 1.2×	40 1.1×	52 1.6×	20 0.9×	38 1.7×	10	364
Hanae Elmekki Canada	5	75 1.0×	34 0.9×	30 0.9×	17 0.8×	15 0.7×	9	217
M. A. El-Dosuky Egypt	8	58 0.8×	41 1.1×	48 1.5×	18 0.8×	12 0.5×	30	219
Wilson E. Marcílio-Jr Brazil	5	110 1.4×	41 1.1×	17 0.5×	20 0.9×	10 0.5×	14	338
Zhang Min China	4	50 0.6×	30 0.8×	50 1.5×	20 0.9×	17 0.8×	7	262
Abdulrahman Alruban Saudi Arabia	6	80 1.0×	69 1.9×	21 0.6×	31 1.4×	20 0.9×	23	255
Saidul Islam Canada	3	71 0.9×	32 0.9×	50 1.5×	16 0.7×	13 0.6×	5	215
Pius Kwao Gadosey China	5	73 0.9×	55 1.5×	77 2.3×	33 1.5×	19 0.9×	10	320

Countries citing papers authored by Jojo Moolayil

Since Specialization

Citations

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

Fields of papers citing papers by Jojo Moolayil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jojo Moolayil

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

All Works

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4 of 4 papers shown

1.

Ketkar, Nikhil & Jojo Moolayil. (2021). Deep Learning with Python. Apress eBooks. 90 indexed citations

2.

Moolayil, Jojo & Nikhil Ketkar. (2021). Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch. 27 indexed citations

3.

Moolayil, Jojo. (2018). Learn Keras for Deep Neural Networks. Apress eBooks. 115 indexed citations

4.

Moolayil, Jojo. (2018). Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python. CERN Document Server (European Organization for Nuclear Research). 19 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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