Vaibhav Krishna

410 total citations
9 papers, 264 citations indexed

About

Vaibhav Krishna is a scholar working on Information Systems, Ecology and Artificial Intelligence. According to data from OpenAlex, Vaibhav Krishna has authored 9 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 2 papers in Ecology and 2 papers in Artificial Intelligence. Recurrent topics in Vaibhav Krishna's work include Recommender Systems and Techniques (3 papers), Expert finding and Q&A systems (3 papers) and Agriculture Sustainability and Environmental Impact (2 papers). Vaibhav Krishna is often cited by papers focused on Recommender Systems and Techniques (3 papers), Expert finding and Q&A systems (3 papers) and Agriculture Sustainability and Environmental Impact (2 papers). Vaibhav Krishna collaborates with scholars based in Switzerland, India and United States. Vaibhav Krishna's co-authors include Abhishek Chaudhary, Yash Raj Shrestha, Georg von Krogh, Nino Antulov-Fantulin and Tian Guo and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Business Research.

In The Last Decade

Vaibhav Krishna

8 papers receiving 260 citations

Peers

Vaibhav Krishna

ECOLO

AI

FS

MIS

IS

Daniel Berlin Sweden

Amar Causevic Sweden

Anat Goldstein Israel

Thayer Patterson United States

Shannon Ferrell United States

Nino Adamashvili Italy

Vítor Francisco Dalla Corte Brazil

Ashok Kumar Panigrahi India

Darryl Farber United States

Adílson Luiz Pinto Brazil

Daniel Berlin Sweden

Vaibhav Krishna

41 ×0.5

ECOLO

33 ×0.7

AI

16 ×0.4

FS

21 ×0.6

MIS

16 ×0.5

IS

Citations per year, relative to Vaibhav Krishna Vaibhav Krishna (= 1×) peers Daniel Berlin

Countries citing papers authored by Vaibhav Krishna

Since Specialization

Citations

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

Fields of papers citing papers by Vaibhav Krishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaibhav Krishna

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

All Works

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9 of 9 papers shown

1.

Krishna, Vaibhav, Yash Raj Shrestha, & Georg von Krogh. (2024). “The double-edged sword of inflated help”: Unravelling the motivation crowding in community question-answering platforms. PLoS ONE. 19(3). e0297627–e0297627. 1 indexed citations

2.

Chaudhary, Abhishek & Vaibhav Krishna. (2024). A quantitative framework for characterizing the current and obtaining a future sustainable agricultural production mix meeting environmental, nutritional, and economic goals. Environmental Research Letters. 19(7). 74008–74008. 2 indexed citations

3.

Krishna, Vaibhav & Nino Antulov-Fantulin. (2023). Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. 156–163. 4 indexed citations

4.

Krishna, Vaibhav, et al.. (2022). Question routing via activity-weighted modularity-enhanced factorization. Social Network Analysis and Mining. 12(1). 7 indexed citations

5.

Krishna, Vaibhav, Yash Raj Shrestha, & Georg von Krogh. (2021). Integrating Advanced Machine Learning in Information Systems Research: What can Automated Machine Learning and Transfer Learning offer?. SSRN Electronic Journal.

6.

Chaudhary, Abhishek & Vaibhav Krishna. (2021). Region-specific nutritious, environmentally friendly, and affordable diets in India. One Earth. 4(4). 531–544. 35 indexed citations

7.

Shrestha, Yash Raj, Vaibhav Krishna, & Georg von Krogh. (2020). Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges. Journal of Business Research. 123. 588–603. 139 indexed citations

8.

Chaudhary, Abhishek & Vaibhav Krishna. (2019). Country-Specific Sustainable Diets Using Optimization Algorithm. Environmental Science & Technology. 53(13). 7694–7703. 70 indexed citations

9.

Krishna, Vaibhav, Tian Guo, & Nino Antulov-Fantulin. (2018). Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. arXiv (Cornell University). 1289–1293. 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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