Shailesh Tripathi

1.8k total citations · 1 hit paper
66 papers, 1.1k citations indexed

About

Shailesh Tripathi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Shailesh Tripathi has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Shailesh Tripathi's work include Bioinformatics and Genomic Networks (14 papers), Complex Network Analysis Techniques (12 papers) and Gene expression and cancer classification (10 papers). Shailesh Tripathi is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Complex Network Analysis Techniques (12 papers) and Gene expression and cancer classification (10 papers). Shailesh Tripathi collaborates with scholars based in Austria, Finland and China. Shailesh Tripathi's co-authors include Frank Emmert‐Streib, Matthias Dehmer, Zhen Yang, Feng Han, Herbert Jodlbauer, Ricardo De Matos Simoes, Olli Yli‐Harja, Galina Glazko, Aliyu Musa and Yongtang Shi and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Shailesh Tripathi

59 papers receiving 1.1k 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.

An Introductory Review of Deep Learning for Prediction Models With Big Data

2020 380 citations Frank Emmert‐Streib, Shailesh Tripathi et al. profile →

Peers

Countries citing papers authored by Shailesh Tripathi

Since Specialization

Citations

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

Fields of papers citing papers by Shailesh Tripathi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailesh Tripathi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Granular and Relational SWOT Analysis: An Ontological Approach 2025 ·Procedia Computer Science ·(unknown), Shailesh Tripathi, (unknown), (unknown), (unknown), Herbert Jodlbauer	0
2	Enhancing customer satisfaction through digitalization: Past, present and possible future approaches 2025 ·Procedia Computer Science ·(unknown), Shailesh Tripathi, Katherine Gundolf, (unknown), (unknown), (unknown), (unknown), Herbert Jodlbauer	3
3	Cost and Profit Distributions in Allied Supply Chains 2025 ·Procedia Computer Science ·Herbert Jodlbauer, Shailesh Tripathi, (unknown), (unknown), (unknown), (unknown), (unknown)	0
4	Harnessing dynamic capabilities for data-driven business model innovation in incumbents 2025 ·University of Twente Research Information ·Shailesh Tripathi, (unknown), (unknown), Herbert Jodlbauer	0
5	Comparing environmental and social Performance Measurement Understandings 2025 ·Procedia Computer Science ·(unknown), Katherine Gundolf, (unknown), Shailesh Tripathi, (unknown), (unknown), (unknown), Herbert Jodlbauer	1
6	Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges 2024 ·Journal Of Big Data ·Shailesh Tripathi, (unknown), (unknown), (unknown), Herbert Jodlbauer	27
7	Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers 2024 ·Applied Sciences ·Shailesh Tripathi, (unknown), (unknown), Herbert Jodlbauer	7
8	Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market 2024 ·Expert Systems with Applications ·Herbert Jodlbauer, Shailesh Tripathi, (unknown), (unknown)	2
9	Implementing Virtuality in Production - a Design Science Approach 2023 ·Procedia Computer Science ·(unknown), Herbert Jodlbauer, (unknown), Shailesh Tripathi	1
10	Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action 2023 ·SHILAP Revista de lepidopterología ·Herbert Jodlbauer, (unknown), (unknown), Shailesh Tripathi, Matthias Thürer	11
11	Integration of communicable and non-communicable diseases within the health system of India: A window of opportunity? 2023 ·Frontiers in Public Health ·Sudip Bhattacharya, Shailesh Tripathi, Pratima Gupta, Saurabh Varshney, (unknown)	0
12	The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals 2022 ·Sustainability ·(unknown), Shailesh Tripathi, (unknown), Herbert Jodlbauer	112
13	Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning 2021 ·Scientific Reports ·(unknown), Shailesh Tripathi, Olli Yli‐Harja, Matthias Dehmer, Galina Glazko, Frank Emmert‐Streib	28
14	Measuring the complexity of directed graphs: A polynomial-based approach 2019 ·PLoS ONE ·Matthias Dehmer, Zengqiang Chen, Frank Emmert‐Streib, Shailesh Tripathi, Abbe Mowshowitz, (unknown), Lihua Feng, Yongtang Shi, Jin Tao	6
15	Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM 2019 ·Shailesh Tripathi, (unknown), (unknown), Matthias Dehmer, Herbert Jodlbauer	4
16	Properties of graph distance measures by means of discrete inequalities 2018 ·Applied Mathematical Modelling ·Matthias Dehmer, Zengqiang Chen, Frank Emmert‐Streib, Yongtang Shi, Shailesh Tripathi, Aliyu Musa, Abbe Mowshowitz	4
17	sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters 2017 ·BMC Bioinformatics ·Shailesh Tripathi, Jason Lloyd‐Price, André S. Ribeiro, Olli Yli‐Harja, Matthias Dehmer, Frank Emmert‐Streib	5
18	Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules 2016 ·BMC Bioinformatics ·Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert‐Streib	20
19	Large-Scale Evaluation of Molecular Descriptors by Means of Clustering 2013 ·PLoS ONE ·Matthias Dehmer, Frank Emmert‐Streib, Shailesh Tripathi	11
20	Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods 2012 ·Biology Direct ·Frank Emmert‐Streib, Shailesh Tripathi, Ricardo De Matos Simoes	18

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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