Innocent Nyalala

810 total citations
20 papers, 583 citations indexed

About

Innocent Nyalala is a scholar working on Plant Science, Analytical Chemistry and Animal Science and Zoology. According to data from OpenAlex, Innocent Nyalala has authored 20 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Analytical Chemistry and 6 papers in Animal Science and Zoology. Recurrent topics in Innocent Nyalala's work include Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Animal Nutrition and Physiology (4 papers). Innocent Nyalala is often cited by papers focused on Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Animal Nutrition and Physiology (4 papers). Innocent Nyalala collaborates with scholars based in China, Kenya and United Kingdom. Innocent Nyalala's co-authors include Cedric Okinda, Kunjie Chen, Tchalla Korohou, Mingxia Shen, Chao Qi, Chao Liu, Nelson Richard Makange, Khurram Yousaf, Mingzhou Lu and Longshen Liu and has published in prestigious journals such as Scientific Reports, Journal of Food Engineering and Poultry Science.

In The Last Decade

Innocent Nyalala

19 papers receiving 559 citations

Peers

Innocent Nyalala
Comparison fields: 5 of 91
  • Plant Science 234
  • Animal Science and Zoology 192
  • Analytical Chemistry 144
  • Small Animals 112
  • Biomedical Engineering 97
Replace Cedric Okinda with:
Cedric Okinda China
Mingxia Shen China
Hao Gan United States
Deqin Xiao China
Junduan Huang China
Tchalla Korohou China
Dihua Wu China
Shuqin Tu China
Longshen Liu China
Tateshi Fujiura Japan
Cedric Okinda China View profile →
Citations per field, relative to Innocent Nyalala
Innocent Nyalala · 1×
Citations per year, relative to Innocent Nyalala
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Countries citing papers authored by Innocent Nyalala

Since Specialization
Citations

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

Fields of papers citing papers by Innocent Nyalala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Innocent Nyalala

This figure shows the co-authorship network connecting the top 25 collaborators of Innocent Nyalala. A scholar is included among the top collaborators of Innocent Nyalala 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 Innocent Nyalala. Innocent Nyalala 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
# Work Indexed citations
1 0
2 1
3 3
4 7
5 24
6 11
7 10
8 17
9 16
10 66
11 46
12 109
13 24
14 8
15 99
16 17
17 102
18
Detection of an onset of farrowing by classification of crated sow's activities.
3
19 19
20 1

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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