Alexei Botchkarev

1.3k total citations · 1 hit paper
11 papers, 583 citations indexed

About

Alexei Botchkarev is a scholar working on Management Science and Operations Research, Management Information Systems and Strategy and Management. According to data from OpenAlex, Alexei Botchkarev has authored 11 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Management Information Systems and 1 paper in Strategy and Management. Recurrent topics in Alexei Botchkarev's work include Big Data and Business Intelligence (2 papers), Complex Systems and Decision Making (1 paper) and Service-Oriented Architecture and Web Services (1 paper). Alexei Botchkarev is often cited by papers focused on Big Data and Business Intelligence (2 papers), Complex Systems and Decision Making (1 paper) and Service-Oriented Architecture and Web Services (1 paper). Alexei Botchkarev collaborates with scholars based in Canada, Russia and United States. Alexei Botchkarev's co-authors include and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Engineering Management and Interdisciplinary Journal of Information Knowledge and Management.

In The Last Decade

Alexei Botchkarev

9 papers receiving 558 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.

A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms

2019 419 citations Alexei Botchkarev Interdisciplinary Journal of Information Knowledge and Management profile →

Peers

Alexei Botchkarev

AI

EEE

CSE

BE

BC

Junwen Feng China

Paul Stephenson United States

Kevin L. Priddy United States

Mukta Paliwal India

Jia-Wei Chang Taiwan

Usha A. Kumar India

Micaela Demichela Italy

Martin Binder Germany

Junwen Feng China

Alexei Botchkarev

76 ×0.8

AI

81 ×0.8

EEE

40 ×0.6

CSE

50 ×0.9

BE

30 ×0.6

BC

Citations per year, relative to Alexei Botchkarev Alexei Botchkarev (= 1×) peers Junwen Feng

Countries citing papers authored by Alexei Botchkarev

Since Specialization

Citations

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

Fields of papers citing papers by Alexei Botchkarev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

No nodes

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Botchkarev, Alexei. (2023). USING INTERPOLATION FOR GENERATING INPUT DATA FOR THE GROSS DOMESTIC PRODUCT MONTE CARLO SIMULATION. 33–37. 1 indexed citations

2.

Botchkarev, Alexei. (2021). An Overview of the Conceptual Simulation Modelling for Optimizing Funds Allocation in Health Care: Hip and Knee Replacement Case. SHILAP Revista de lepidopterología. 1 indexed citations

3.

Botchkarev, Alexei. (2019). A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms. Interdisciplinary Journal of Information Knowledge and Management. 14. 45–76. 419 indexed citations breakdown →

4.

Botchkarev, Alexei. (2018). Evaluating Performance of Regression Machine Learning Models Using Multiple Error Metrics in Azure Machine Learning Studio. SSRN Electronic Journal. 106 indexed citations

5.

Botchkarev, Alexei. (2017). Informing Evidence Based Decisions: Usage Statistics for Online Journal Databases. Evidence Based Library and Information Practice. 12(2). 114–132.

6.

Botchkarev, Alexei. (2013). Mining Evidence in the Online Academic Journal Databases: Access and Performance in Public Sector. E-LIS Repository (University of Naples Federico II). 1 indexed citations

7.

Botchkarev, Alexei, et al.. (2012). ROI for Technology Projects: Measuring and Delivering Value—D. Brian Roulstone and Jack J. Phillips (Woburn, MA: Butterworth Heinemann, 2008, pp. 343, ISBN-10: 0750685883; ISBN-13: 978-0750685887). Reviewed by P. Andru and A. Botchkarev. IEEE Transactions on Engineering Management. 59(4). 766–770. 1 indexed citations

8.

Botchkarev, Alexei, et al.. (2011). Return on Investment: A Placebo for the Chief Financial Officer… And Other Paradoxes. SHILAP Revista de lepidopterología. 7(16). 201–206. 4 indexed citations

9.

Botchkarev, Alexei, et al.. (2011). A Return on Investment as a Metric for Evaluating Information Systems: Taxonomy and Application. Interdisciplinary Journal of Information Knowledge and Management. 6. 245–269. 47 indexed citations

10.

Botchkarev, Alexei, et al.. (2011). The Use of Return on Investment (ROI) in the Performance Measurement and Evaluation of Information Systems. E-LIS Repository (University of Naples Federico II). 3 indexed citations

11.

Botchkarev, Alexei, et al.. (2010). A Method of Rapid Evaluation of a Multipurpose Customer Relationship Management System. 10(24).

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.

Explore authors with similar magnitude of impact