Emmanuel Yashchin

1.3k citations
58 papers · 905 indexed · h-index 17
Topics
Advanced Statistical Process Monitoring (22 papers)Scientific Measurement and Uncertainty Evaluation (12 papers)Fault Detection and Control Systems (11 papers)
Partner nations
United StatesIsraelChina

In The Last Decade

Emmanuel Yashchin

55 papers receiving 836 citations

Peers

Emmanuel Yashchin
Comparison fields: 5 of 87
  • Statistics, Probability and Uncertainty 611
  • Statistics and Probability 385
  • Control and Systems Engineering 153
  • Medical Laboratory Technology 84
  • Management Science and Operations Research 71
Replace Abdullah Ali H. Ahmadini with:
Abdullah Ali H. Ahmadini Saudi Arabia
José G. Ramírez United States
Chien‐Tai Lin Taiwan
K. Inoue Japan
Serguei Maximov Mexico
Michael J. LuValle United States
Francisco J. Torres Chile
Tianyi Wu China
S. Juneja India
Shaojun Guo China
Emmanuel Yashchin relative to Abdullah Ali H. Ahmadini Saudi Arabia Abdullah Ali H. Ahmadini's profile →
Citations per field
00.5×10×20×28×
Abdullah Ali H. Ahmadini · 1×
Citations per year

Countries citing papers authored by Emmanuel Yashchin

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Yashchin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Yashchin

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 12
5 7
6 37
7 4
8 0
9 1
10 33
11 5
12 34
13 74
14 4
15 14
16 52
17 66
18 2
19 16
20 3

About Emmanuel Yashchin

Emmanuel Yashchin is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering, having authored 58 papers that have together received 905 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (22 papers), Scientific Measurement and Uncertainty Evaluation (12 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (611 citations), Medical Laboratory Technology (84 citations) and Statistics and Probability (385 citations). Emmanuel Yashchin has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Betty J. Flehinger, Benjamin Reiser, M. Tseitlin, N. Angert, Michal Roth, Paul D. Feigin, M. Roth, David M. Stein, Stephen V. Crowder and Marion R. Reynolds. Their work appears in journals such as Journal of the American Statistical Association, Applied Physics Letters and Journal of Applied Physics.

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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