Connie Ocando

916 citations
29 papers · 699 · h-index 17

Impact in

Papers in

Connie Ocando

28 papers receiving 693 citations

Peers

Connie Ocando
Comparison fields: 5 of 54
  • Polymers and Plastics 441
  • Process Chemistry and Technology 74
  • Biomaterials 211
  • Mechanical Engineering 273
  • Organic Chemistry 171
Replace Dai-Soo Lee with:
Dai-Soo Lee South Korea
Baoming Zhao United States
Young‐O Kim South Korea
Jianqiao Wu China
Xiaochao Xia China
Anthony Maiorana United States
R. V. Siva Prasanna Sanka India
Yechang Feng China
Xirong Xu China
Anqian Yuan China
Connie Ocando relative to Dai-Soo Lee South Korea Dai-Soo Lee's profile →
Citations per field
00.5×4.7×
Dai-Soo Lee · 1×
Citations per year

Countries citing papers authored by Connie Ocando

Since Specialization
Citations

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

Fields of papers citing papers by Connie Ocando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Connie Ocando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Connie Ocando Line = papers co-authored together Connie Ocando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200769
2 200766
3 200965
4 202055
5 201948
6 202041
7 201035
8 200835
9 201333
10 202131
11 202128
12 200924
13 202319
14 200719
15 200918
16 201417
17 201917
18 202016
19 202413
20 201113

About Connie Ocando

Connie Ocando is a scholar working on Polymers and Plastics, Biomaterials, Organic Chemistry, Mechanical Engineering and Materials Chemistry, having authored 29 papers that have together received 699 indexed citations. Recurring topics across this work include biodegradable polymer synthesis and properties (8 papers), Polymer composites and self-healing (8 papers), Epoxy Resin Curing Processes (7 papers), Block Copolymer Self-Assembly (6 papers), Polymer Nanocomposites and Properties (5 papers), Advanced Polymer Synthesis and Characterization (5 papers), Carbon dioxide utilization in catalysis (4 papers) and Polymer Surface Interaction Studies (4 papers). The work is most often cited by research in Polymers and Plastics (441 citations), Process Chemistry and Technology (74 citations), Biomaterials (211 citations), Mechanical Engineering (273 citations) and Organic Chemistry (171 citations). Connie Ocando has collaborated with scholars based in Spain, Belgium and France. Frequent co-authors include Agnieszka Tercjak, Iñaki Mondragòn, Luc Avérous, Elena Serrano, Alejandro J. Müller, José Ángel Ramos, David Mecerreyes, Bruno Grignard, Yvan Ecochard and M. Campo. Their work appears in journals such as Macromolecules, European Polymer Journal, Biomacromolecules, Polymer and ACS Applied Polymer Materials.

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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